Data Scientist

Job Description

Job Description (JD): Data Scientist II – Customer Technology
Company

Wayfair Inc.

Job Title

Data Scientist II – Customer Technology

Location

Bangalore, India

Work Mode

Hybrid

Experience Required

3–5 Years

Education
Bachelor’s degree in:
Computer Science
Computer Engineering
Analytics
Mathematics
Statistics
Information Systems
Economics
Other quantitative disciplines
Master’s degree preferred
Job Summary

Wayfair is seeking a Data Scientist II to join its Customer Technology Data Science team. The role focuses on analyzing customer behavior across Wayfair’s website and mobile applications to improve customer experience and business performance. You will work with large-scale datasets, develop analytical models, conduct experimentation, build dashboards, and leverage Generative AI (GenAI) and Large Language Models (LLMs) to generate actionable insights.

Key Responsibilities
Data Analysis
Analyze large-scale datasets, including:
Clickstream data
Sales data
Customer data
Product data
Logistics data
Identify trends, business opportunities, and performance gaps.
Customer Analytics
Understand customer behavior across web and mobile platforms.
Become a subject matter expert on customer metrics and KPIs.
Deliver insights that improve customer experience.
Machine Learning & AI
Apply machine learning models to solve business problems.
Utilize Generative AI (GenAI) and LLMs to automate analysis and improve insight generation.
Implement advanced analytical methodologies such as:
Forecasting
Key Driver Analysis
Cohort Analysis
Anomaly Detection
Experimentation
Design and execute A/B tests.
Measure experiment outcomes.
Recommend product and customer experience improvements based on test results.
KPI & Monitoring
Define and monitor business KPIs.
Develop anomaly detection systems.
Identify emerging issues and opportunities early.
Dashboard Development
Build scalable dashboards and automated reports.
Enable self-service analytics for business stakeholders.
Data Engineering
Develop optimized SQL and Python pipelines.
Transform multi-terabyte datasets into business insights.
Maintain scalable and reusable analytics workflows.
Cross-functional Collaboration

Collaborate with:

Business Strategy
Product Teams
Engineering Teams
Customer Technology Teams
Required Technical Skills
Programming Languages
Python
R
SAS
SPSS
Database
SQL
Joins
Aggregate Functions
Complex Queries
Machine Learning
Machine Learning Algorithms
Predictive Analytics
Statistical Modeling
AI
Generative AI (GenAI)
Large Language Models (LLMs)
Experimentation
A/B Testing
Experimental Design
Data Visualization
Looker
Tableau
Power BI
Google Data Studio
Cloud & Data Platforms
Google BigQuery (GBQ)
Data Domains

Experience working with:

Clickstream Data
Customer Analytics
Product Analytics
Sales Analytics
Logistics Analytics
Business Metrics
Required Skills
Technical Skills
Python Programming
SQL
Statistical Analysis
Data Modeling
Machine Learning
Dashboard Development
Data Visualization
KPI Development
Forecasting
Cohort Analysis
Anomaly Detection
Business Skills
Customer Behavior Analytics
Product Analytics
Business Intelligence
Decision Support
Growth Analytics
Soft Skills
Strong analytical thinking
Problem-solving ability
Critical thinking
Creativity and innovation
Excellent communication skills
Cross-functional collaboration
Business acumen
Ability to work in a fast-paced environment
Preferred Qualifications
Master’s degree in a quantitative field.
Experience in eCommerce or retail analytics.
Experience working with very large datasets.
Knowledge of Looker.
Experience using cloud-based analytics platforms.
Tools & Technologies
Programming
Python
R
SAS
SPSS
Database
SQL
Google BigQuery (GBQ)
Visualization
Looker
Tableau
Power BI
Google Data Studio
AI & Analytics
Machine Learning
GenAI
LLMs
Forecasting
Cohort Analysis
Anomaly Detection
A/B Testing